Results 71 to 80 of about 42,612 (158)
rEMM: Extensible Markov Model for Data Stream Clustering in R
Clustering streams of continuously arriving data has become an important application of data mining in recent years and efficient algorithms have been proposed by several researchers. However, clustering alone neglects the fact that data in a data stream
Michael Hahsler, Margaret H. Dunham
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—Minimally invasive surgery (MIS) involves a multidimensional series of tasks requiring a synthesis between visual information and the kinematics and dynamics of the surgical tools.
Jacob Rosen +4 more
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Multiple myeloma (MM) is a malignancy of plasma cells, originating from B lymphocytes and accumulating within the bone marrow. The prevalence of MM has increased in industrialized countries, representing 1-1.8% of all cancers and 15% of hematologic ...
Ria, Roberto +4 more
core +1 more source
This study proposes a data-driven statistical model using multi sensor fusion and Kalman filtering for real-time water quality assessment in lakes. A recursive estimation technique, the Kalman Filter, is employed to handle uncertainties and enhance ...
E. B. Priyanka +3 more
doaj +1 more source
Intermittent Markov frequency-hopping entropy rate
2024 International Conference on Computing, Networking and Communications, ICNC 202419 February 2024 through 22 February 2024The entropy rate of a random process shows how the entropy of the sequence grows with time.
Kwon, Hyuck M.
core +1 more source
Discriminatively Trained Markov Model for Sequence Classification
In this paper, we propose a discriminative counterpart of the directed Markov Models of order k - 1, or MM(k-1) for sequence classification. MM(k-1) models capture dependencies among neighboring elements of a sequence.
Oksana Yakhnenko +2 more
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Analysis of agricultural drought in Iiuni, Eastern Kenya: application of a Markov model
In semi-arid Kenya, episodes of agricultural droughts of varying severity and duration occur. The occurrence of these agricultural droughts is associated with seasonal rainfall variability and can be reflected by seasonal soil moisture deficits that ...
Biamah, E. K, Sharma, T. C, Sterk, G
core +2 more sources
GUMM-HMRF: A Fine Point Cloud Segmentation Method for Junction Regions of Hull Structures
Fine segmentation of point clouds in hull structure junction regions is a key technology for achieving high-precision digital inspection. Conventional hard-segmentation methods frequently yield over- or under-segmentation in junction regions such as ...
Yuchao Han +3 more
doaj +1 more source
Background Heartburn, chest pain, and regurgitation are characteristics of gastroesophageal reflux disease. The standard treatment in Norway is proton pump inhibitors (PPIs), but surgical alternatives such as Nissen fundoplication are pursued when ...
Sam Harper +4 more
doaj +1 more source
To predict the profitability of a customer, today’s firms have to practice Customer Lifetime Value (CLV) computation. Different approaches are proposed in the last ten years to analyze the complex customer phenomenon.
Ng, MK +5 more
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